EOL_HF
Data EOL: temperature (°C), salinity and oxygen (µmol kg-1)
January 2018 - December 2022 - Temperature and Salinity
By autocorrelation + decompose function or Mann-Kendall : not possible because of gaps
## Slope SE Slope P Slope Intercept SE int. P int.
## sal_ano 0.02632235 0.0007535072 2.728093e-263 -53.18294 1.522422 2.728875e-263
## temp_ano 0.03224041 0.0040675506 2.316919e-15 -65.14189 8.218505 2.316956e-15
## F df R2 P value
## sal_ano 1220.3225 39008 0.030334909 2.728093e-263
## temp_ano 62.8254 39938 0.001570603 2.316919e-15Temperature
Salinity
## Oxygen
## AOU
Daily dataset (8AM-10AM from January 2018 to December 2022) - Temperature and Salinity
Missing values : - april 2019
monthly_means_EOL2 <- ungroup(EOL_daily) %>%
mutate(Month = format(datetime, format="%m")) %>%
group_by(Month) %>%
summarise(
sal_month = mean(salinity, na.rm = TRUE),
temp_month = mean(temperature, na.rm = TRUE))
monthly_means_EOL2## # A tibble: 12 × 3
## Month sal_month temp_month
## <chr> <dbl> <dbl>
## 1 01 38.0 14.6
## 2 02 38.1 13.9
## 3 03 38.0 13.8
## 4 04 37.9 14.9
## 5 05 37.8 18.0
## 6 06 37.8 22.2
## 7 07 37.9 25.9
## 8 08 38.1 26.5
## 9 09 38.2 24.4
## 10 10 38.1 21.2
## 11 11 37.9 18.1
## 12 12 38.0 16.4## Slope SE Slope P Slope Intercept SE int. P int.
## sal_ano 0.01730698 0.003442049 5.484206e-07 -34.96781 6.954476 5.484241e-07
## temp_ano -0.01161644 0.019925688 5.599783e-01 23.47092 40.259700 5.599784e-01
## F df R2 P value
## sal_ano 25.281821 1676 0.0148604542 5.484206e-07
## temp_ano 0.339875 1710 0.0001987178 5.599783e-01Temperature
Salinity
